An anatomic transcriptional atlas of human glioblastoma.
Ralph B PuchalskiNameeta ShahJeremy MillerRachel DalleySteve R NomuraJae-Guen YoonKimberly A SmithMichael LankerovichDarren BertagnolliKris BickleyAndrew F BoeKrissy BrounerStephanie ButlerShiella CaldejonMike ChapinSuvro DattaNick DeeTsega DestaTim DolbeareNadezhda I DotsonAmanda EbbertDavid FengXu FengMichael FisherGarrett GeeJeff GoldyLindsey GourleyBenjamin W GregorGuangyu GuNika HejaziniaJohn HohmannParvinder HothiRobert HowardKevin JoinesAli KriedbergLeonard KuanChris LauFelix LeeHwahyung LeeTracy LemonFuhui LongNaveed MastanErika MottChantal MurthyKiet NgoEric OlsonMelissa RedingZack RileyDavid RosenDavid SandmanNadiya V ShapovalovaClifford R SlaughterbeckAndrew SodtGraham StockdaleAaron SzaferWayne WakemanPaul E WohnoutkaSteven J WhiteDon MarshRobert C RostomilyLydia NgChinh DangAllan JonesBart KeoghHaley R GittlemanJill S Barnholtz-SloanPatrick J CiminoMegha S UppinC Dirk KeeneFarrokh R FarrokhiJustin D LathiaMichael E BerensAntonio IavaroneAmy BernardEd S LeinJohn W PhillipsSteven W RostadCharles CobbsMichael J HawrylyczGreg D FoltzPublished in: Science (New York, N.Y.) (2018)
Glioblastoma is an aggressive brain tumor that carries a poor prognosis. The tumor's molecular and cellular landscapes are complex, and their relationships to histologic features routinely used for diagnosis are unclear. We present the Ivy Glioblastoma Atlas, an anatomically based transcriptional atlas of human glioblastoma that aligns individual histologic features with genomic alterations and gene expression patterns, thus assigning molecular information to the most important morphologic hallmarks of the tumor. The atlas and its clinical and genomic database are freely accessible online data resources that will serve as a valuable platform for future investigations of glioblastoma pathogenesis, diagnosis, and treatment.